DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. - Manxi Lin; Kilian Zepf; Anders Nymark Christensen; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Aasa Feragen (IPMI, 2023)

Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. - Paraskevas Pegios; Emilie Pi Fogtmann Sejer; Manxi Lin; Zahra Bashir; Morten Bo Søndergaard Svendsen; Mads Nielsen; Eike Petersen; Anders Nymark Christensen; Martin Grønnebæk Tolsgaard; Aasa Feragen (ASMUS@MICCAI, 2023)

An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. - Chun Kit Wong; Manxi Lin; Alberto Raheli; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Aasa Feragen; Anders Nymark Christensen (ASMUS@MICCAI, 2023)

Removing confounding information from fetal ultrasound images. - Kamil Wojciech Mikolaj; Manxi Lin; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (CoRR, 2023)

3D Ultrasound and MRI in Assessing Resection Margins during Tongue Cancer Surgery: A Research Protocol for a Clinical Diagnostic Accuracy Study. - Fatemeh Makouei; Tina Klitmøller Agander; Caroline Ewertsen; Morten Bo Søndergaard Svendsen; Rikke Norling; Mikkel Kaltoft; Adam Espe Hansen; Jacob Høygaard Rasmussen; Irene Wessel; Tobias Todsen (J. Imaging, 2023)

Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. - Manxi Lin; Jakob Ambsdorf; Emilie Pi Fogtmann Sejer; Zahra Bashir; Chun Kit Wong; Paraskevas Pegios; Alberto Raheli; Morten Bo Søndergaard Svendsen; Mads Nielsen; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (ISBI, 2024)

Shortcut Learning in Medical Image Segmentation. - Manxi Lin; Nina Weng; Kamil Wojciech Mikolaj; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (MICCAI (8), 2024)

Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. - Markus Ditlev Sjøgren Olsen; Jakob Ambsdorf; Manxi Lin; Caroline Taksøe-Vester; Morten Bo Søndergaard Svendsen; Anders Nymark Christensen; Mads Nielsen; Martin Grønnebæk Tolsgaard; Aasa Feragen; Paraskevas Pegios (ASMUS@MICCAI, 2024)

Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. - Paraskevas Pegios; Manxi Lin; Nina Weng; Morten Bo Søndergaard Svendsen; Zahra Bashir; Siavash Arjomand Bigdeli; Anders Nymark Christensen; Martin Grønnebæk Tolsgaard; Aasa Feragen (CoRR, 2024)

Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound. - Chun Kit Wong; Mary Ngo; Manxi Lin; Zahra Bashir; Amihai Heen; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (CoRR, 2024)

Predicting abnormal fetal growth using deep learning. - Kamil Wojciech Mikolaj; Anders Nymark Christensen; Caroline Taksøe-Vester; Aasa Feragen; Olav Bjørn Petersen; Manxi Lin; Mads Nielsen; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard (npj Digit. Medicine, 2025)